Gender: Male 
Age: 60+
Nationality: United Kingdom
Ethnicity: White / Caucasian 
Marital status: Married 
First language: English 
Religion: Muslim 
Education: Doctorate or above
Mother's education: Prefer not to say
Father's education: Prefer not to say
Self-assessed socioeconomic status (1-10): 6
Home: Prefer not to say 
Employment: Self-employed full time
Occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Mother's occupation: Prefer not to say
Father's occupation: Prefer not to say
Hobbies: Listen to jazz;Go to gigs;Exercise;Use social media;Go to the opera 
Devices used daily: Laptop;Tablet;Smartphone;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants) 
NLP tools used: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Grammar checker (i.e., correcting grammar mistakes);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Grammar checker (i.e., correcting grammar mistakes);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Text-to-Speech (i.e, computers being able to read out loud written language);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text) 
Frequency of LLM use: Every day
LLMs used: Google Gemini;ChatGPT;Google Bard 
LLM use cases: Translation;Coding;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Digital content creation (e.g., creation of social media content);Brainstorming;Solving math or logical problems 
Contexts of LLM use: School/University;Work;Personal;Technical;Entertainment;Learning 
Prompt 1: Can you help me write a short story about a time traveler exploring ancient civilizations?
Prompt 2: Can you explain quantum mechanics in simple terms for a beginner?
Prompt 3: What are some practical tips for improving time management?
Prompt 4: How do I troubleshoot a Wi-Fi connection that keeps dropping?
Prompt 5: Can you give me unique ideas for a community event?